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feat: add Spark Sql DB engine spec and support Spark 3.x (#20462)

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* add apache spark3

* add Spark DB engine spec

* rebase secret key

* modify License error

* rebase databricks

* modify code style

* black code style

Co-authored-by: kai.he01 <kai.he01@idiaoyan.com>
This commit is contained in:
Susur
2022-06-28 06:50:35 +08:00
committed by GitHub
parent ddcef70fbd
commit c4d2238a16
4 changed files with 43 additions and 6 deletions
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1
setup.py
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@@ -165,6 +165,7 @@ setup(
"snowflake": [
"snowflake-sqlalchemy==1.2.4"
], # PINNED! 1.2.5 introduced breaking changes requiring sqlalchemy>=1.4.0
"spark": ["pyhive[hive]>=0.6.5", "tableschema", "thrift>=0.11.0, <1.0.0"],
"teradata": ["teradatasql>=16.20.0.23"],
"thumbnails": ["Pillow>=9.0.1, <10.0.0"],
"vertica": ["sqlalchemy-vertica-python>=0.5.9, < 0.6"],

2
superset/db_engine_specs/databricks.py
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@@ -13,7 +13,7 @@
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.o
# under the License.
from datetime import datetime
from typing import Any, Dict, Optional

5
superset/db_engine_specs/hive.py
View File

@@ -580,8 +580,3 @@ class HiveEngineSpec(PrestoEngineSpec):
"""
return True
class SparkEngineSpec(HiveEngineSpec):
engine_name = "Apache Spark SQL"

41
superset/db_engine_specs/spark.py Normal file
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@@ -0,0 +1,41 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from superset.db_engine_specs.hive import HiveEngineSpec
time_grain_expressions = {
None: "{col}",
"PT1S": "date_trunc('second', {col})",
"PT1M": "date_trunc('minute', {col})",
"PT1H": "date_trunc('hour', {col})",
"P1D": "date_trunc('day', {col})",
"P1W": "date_trunc('week', {col})",
"P1M": "date_trunc('month', {col})",
"P3M": "date_trunc('quarter', {col})",
"P1Y": "date_trunc('year', {col})",
"P1W/1970-01-03T00:00:00Z": (
"date_trunc('week', {col} + interval '1 day') + interval '5 days'"
),
"1969-12-28T00:00:00Z/P1W": (
"date_trunc('week', {col} + interval '1 day') - interval '1 day'"
),
}
class SparkEngineSpec(HiveEngineSpec):
_time_grain_expressions = time_grain_expressions
engine_name = "Apache Spark SQL"